Journal of Artificial Intelligence in Electrical Engineering
Volume:5 Issue: 19, Autumn 2016

In the present paper, a practical designing method has been proposed for a novel class of NDOs based on TD. Such NDOs can nearly estimate all uncertain disturbances (specifically disturbances without prediction information). Regarding the outstanding performance of TD filter not requiring a precise dynamic model, the proposed NDO can estimate external disturbance and not modeled dynamics. The results showed the superiority of the proposed method in estimating disturbance and improvement of control quality.

This paper presents a novel adaptive neuro-fuzzy inference system based on interval Gaussian type-2 fuzzy sets in the antecedent part and Gaussian type-1 fuzzy sets as coefficients of linear combination of input variables in the consequent part. The capability of the proposed ANFIS2 for function approximation and dynamical system identification is remarkable. The structure of ANFIS2 is very similar to ANFIS but in ANFIS2, a layer is added for purpose to type reduction. An adaptive learning rate based back propagation with convergence guaranteed is used for parameter learning. Finally, the proposed ANFIS2 is used to control of a flexible link robot arm. Simulation results shows the proposed ANFIS2 with Gaussian type-1 fuzzy set as coefficients of linear combination of input variables in the consequent part has good performance and high accuracy but more training time.

Due to the simple structure, high torque density, low maintenance, and high efficiency, brushless direct current (BLDC) motors are widely used in automation and industrial applications. A control strategy based on single current sensor is proposed for a four-switch three-phase BLDC motor system to lower cost and improve reliability. The whole working process of the BLDC motor is divided into six modes. Phase c involves four modes, including modes 2, 3, 5, and 6. Only one switch will work in these modes. In modes 1 and 4, two switches will work simultaneously and current flows through phases a and b. Compared to the most recent and highly performed torque control strategy, the proposed offers an improved reliability thanks to the achievement of balanced switching frequencies of the inverter upper and lower switches. Furthermore, the torque ripple is significantly damped during sector-to-sector commutations using a hysteresis current controller. The effectiveness of the proposed system has been validated by simulation results using MATLAB/Simulink software in various operation conditions.

Today, the world has witnessed increasing development in various fields, including industry and medicine. One of the best ways to achieve these objectives is the integration of different sciences including electronics, robotics and medicine. Ventilator set that provides respiratory function for patients get smarter and more capable than older generations, during mechanical ventilation to prevent problems that may arise for patients and threaten the patient's life. In this article we have tried to use various sensors to create a kind of intelligent ventilator and increase the safety and efficiency of this device. In other words, by integration of medical devices we have enhanced its reliability.
By using capnograph sensors and connecting it to the patient breathing circuit, it is possible that an increase in carbon dioxide in exhaled patient with the proper functioning and increased respiratory rate of the patient automatically and smart, the amount of gas in the exhaled air returns to normal. The use of pulse oximetry sensors can help us to measure oxygen saturation of arterial blood and in case of increase the normal value, by reducing the percentage of oxygen input, its value is adjusted and prevents the occurrence of oxygen poisoning.

This article proposes a new planning navigation strategy for use with mobile terrestrial robots. The proposed algorithm is applicable in any point of the areas for tasks such as cleaning the floors of building, mowing and clearing mined areas. The strategy of this algorithm is analyzed and checked in conditions where the environment and the obstacles are known. There are various routing algorithms such as A*, Genetic, Dijkstra, antcolony and etc, but any of the main algorithms is not singly the optimum one and all of them have some disadvantages. The proposed algorithm reduces the number of required repetitions to passing the routes by a combination of good characteristics of the main algorithms; after each movement event, the robot passing through all eight directions of source node according to specified fitness function, traverses the intended area at each repetition that the cost of each node is the distance of that node from the source. In this article, some problems presented and finally, the proposed algorithm in comparison with the algorithm of Roomba made by iRobot Corporation, has been checked by the observation and test method and their response has been obtained. In the path of achieving to the response by using the presented algorithm, some pseudo-codes have been designed in the C# environment.

One of the most important case in humanoid robot designing is hand, which it consider as an country development. High percentage of robot work quality depend on hand capability. A robot function increase with hand movement. One of important movement in artificial hand capability relate to fingers lateral movement. This case has more effect intake of special objects such as round shape or moving taken object. In current research investigate robotic hand designing in humanoid pattern based on embedding motor in palm and also presented new mechanism for finger lateral movement. Presented mechanism was simulated in Solid works software and static and dynamic analysis, were done on it. Determining appropriate size and shape, finger lateral movement mentioned as research aim.

In this study, solutions for machinery layout with the aim of reducing transportation costs will be discussed. To do this, imperialist competitive algorithm (ICA), which is a very complicated and effective meta-heuristic algorithm is introduced. In the offered algorithm, different kinds of machinery layout are considered in single-row as country and then the best possible layout is developed based on ICA phases such as revolution and absorption policy, population displacement and production and applying its steps on the machinery, possible layouts were investigated by considering the distance of machinery pairs and components’ manufacturing routes.. The results show that using this algorithm, layout of machines would have the most favorable form based on used machinery to produce components.

S7-1200 with Tia Portal technology has become a Standard function of distributed control systems. Self-Tuning methods belong to Programmable Controllers (PLC) techniques. PLC techniques contain software packages for advanced control based on mathematical methods. S7- 1200 tools are designed to increase the Process Capacity, yield, and quality of products. Most of the present time digital industry regulators and PLCs are provided with some kinds of the Self Tuning constant algorithms. Practical part of the present paper deals with the design of the control systems, which contain Self Tuning regulators and Zone PID features. A Control System with PID Self Tuner is designed by Siemens along with visualization in Tia Portal to do so. There is a description of an implementation of the PID regulator as a function block, which can also be used for extension Zone PID control functions. Control Systems for relay and moment Self Tuner with visualizations in Tia Portal are also designed and tested in ZAFAR Steel Plant, BONAB, IRAN.

Electro-hydraulic systems with regards to the their specific features and applications among other industrial systems including mechanical, electrical and pneumatic systems, have been widely taken into consideration by the scientists and researchers. Due to the fact that the electro-hydraulic system is inherently a nonlinear system, has some problems such as signals saturation, nonlinear efficiency, uncertainties caused by the compressibility, internal and external leakages, dead band of the flow around the zero point and the adhesion and friction. In this paper fault detection issue in an electro-hydraulic system based on the type-2 fuzzy system has been considered. One of the most important theories proposed for the identification and control of the nonlinear systems is the fuzzy systems theory. Therefore, in this study due to the nonlinearity of the electro-hydraulic system, the use of type-2 fuzzy system of fuzzy systems theory is proposed. Type-2 fuzzy systems has a better performance capability than type-1 fuzzy systems. In this paper residual signal generation method has been used for fault detection. Using type-2 fuzzy theory the upper and lower bounds are estimated for the output, and in case of deviating the output graph of the system under control from this estimated band, the occurrence of fault can be detected. Eventually, the simulation results on the system under study determine the capability of the proposed method.

Reliability and active power loss are two fundamental parameters in the design and planning of distribution systems that have always attracted the attention of power distribution systems designers and engineers. The improvement of reliability and the reduction of power loss are investigated as the primary objective functions and voltage profile as the secondary objective function. A method based on Krill Herd algorithm is adopted to optimize a single objective function that consists of a number of distinct objective functions and is made up of different weight coefficients in order to locate distributed generation units. Further, the results obtained from this algorithm will be compared to those of other methods. To evaluate the accuracy and efficiency of the proposed algorithm in finding optimal responses, standard grids including IEEE 33-bus and 69-bus radial distribution systems are employed.